from PlateAnalysis_b import PlateDataset


Plate = PlateDataset('20191202_KPi_Triton.CSV','20191202_pathlength_kpi_Triton.CSV')
Plate_corr = PlateDataset('20191202_KPi_Triton.CSV','20191202_pathlength_kpi_Triton.CSV',True)

CompoundMap = dict(zip(range(1,25),['Lauric Acid']*6 + \
                       ['Arachadionic Acid']*6 + \
                       ['Palmitic Acid']*6 + \
                       ['4-Phenylimidazole']*6))

for i in range(1,25):
    print(i,': Not Corrected    '+ CompoundMap[i])
    NormalizedTraces, DifferenceSpec, DiffDiff = Plate.AnalysisPipeline_1(i)
    Plate.PlotTrace(NormalizedTraces)
    Plate.PlotTrace(DifferenceSpec)
    
    print(i,' :Corrected    '+ CompoundMap[i])
    NormalizedTraces, DifferenceSpec, DiffDiff = Plate_corr.AnalysisPipeline_1(i)
    Plate_corr.PlotTrace(NormalizedTraces)
    Plate_corr.PlotTrace(DifferenceSpec)

1 : Not Corrected    Lauric Acid

1  :Corrected    Lauric Acid

2 : Not Corrected    Lauric Acid

2  :Corrected    Lauric Acid

3 : Not Corrected    Lauric Acid

3  :Corrected    Lauric Acid

4 : Not Corrected    Lauric Acid

4  :Corrected    Lauric Acid

5 : Not Corrected    Lauric Acid

5  :Corrected    Lauric Acid